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Data Product Manager
MHTECHIN
posted 10hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are looking for a Data Product Manager to drive the development of data-driven products and ensure that our data strategy aligns with business objectives. This role sits at the intersection of data science, product management, and business strategy , working closely with engineers, analysts, and stakeholders to build and scale data-powered solutions.
Key Responsibilities - Define and execute the data product roadmap , aligning with company goals and customer needs.
- Collaborate with data engineers, analysts, and data scientists to build scalable data solutions.
- Develop and prioritize product features that improve data accessibility, analytics, and AI/ML adoption .
- Work with cross-functional teams to integrate data-driven insights into products and decision-making .
- Ensure compliance with data governance, privacy, and security regulations (GDPR, CCPA).
- Optimize data pipelines, analytics platforms, and real-time data processing capabilities.
- Define KPIs and success metrics to measure product performance and impact.
- Communicate data strategies, insights, and product updates to leadership and stakeholders.
- 3-7 years of experience in product management, data analytics, or a related field .
- Strong understanding of data infrastructure, ETL pipelines, and data modeling .
- Experience working with SQL, Python, and data visualization tools (Tableau, Power BI).
- Familiarity with cloud platforms (AWS, GCP, or Azure) for data management.
- Ability to translate business needs into data product features and roadmaps .
- Strong communication skills and experience working with cross-functional teams .
- Prior experience in data-driven SaaS, AI/ML products, or business intelligence platforms .
- Knowledge of Big Data technologies (Snowflake, Apache Spark, Databricks).
- Experience with A/B testing, experimentation frameworks, and customer analytics .
- Understanding of data monetization strategies and data-as-a-service (DaaS) models .
- Competitive salary and performance-based incentives .
- Opportunity to work on cutting-edge data and AI-driven products .
- Flexible working hours and remote/hybrid options .
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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